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Field
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engineering discipline. Experience: The ideal candidate should have some knowledge and/or experience in several of the following topics (ordered by importance): Large language models and LLM-based agents Multi
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, LLM, SJD) or equivalent strongly preferred. • Experience in online/hybrid program support and student academic success in higher education. Preferred Qualifications Advanced legal degree (JD, LLM, SJD
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, investigating how large language models (LLMs) approximate, extend, or diverge from human expertise across domains. The starting date is negotiable but should be no later than November 1, 2026. The position is
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. LLM-Enabled Applications & Integrations: Use large language models (LLMs) and other emerging AI tools to support custom college applications, automate routine workflows, and improve integrations across
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, services, and student success initiatives. LLM-Enabled Applications & Integrations: Use large language models (LLMs) and other emerging AI tools to support custom college applications, automate routine
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); a letter of motivation (max 2 pages), outlining how you would investigate the ways emotions are expressed in LLM-generated outputs intended for policymakers; a writing sample such as part of a master
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to apply. Position Type/Expected Hours of Work: Part-time. 20 hours per week. Salary Range: $18.40 - $23.50 per hour. Required Education and Experience: The applicant should be a BA senior, MA, JD, LLM
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Chair and Institute of Man-Machine Interaction | Aachen, Nordrhein Westfalen | Germany | about 2 months ago
in applied artificial intelligence: in LLM-based assistance and agent systems, in knowledge provisioning, and in connecting language models with real tools and 3D simulation models. The focus is on
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req26987 Department Admin Technologies Department Website Link https://it.arizona.edu/ Location To Be Determined Address USA Position Highlights University Information Technology Services (UITS) is the
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also assist in the building of an open-access data repository for training scientific AI models. Read more: https://www.nsf.gov/tip/updates/nsf-announces-400m-investment-new-national-network-ai https